mpesa-mcp

MCP server for M-Pesa (Safaricom Daraja) and Africa's Talking APIs. Gives AI coding assistants — Claude Code, Cursor, GitHub Copilot — direct access to East African payment and SMS infrastructure from a single server. What it does: STK Push payments via Safaricom Daraja (triggers M-Pesa prompt on user's phone) Transaction status queries SMS to 20+ African telecom networks via Africa's Talking Airtime top-up across East and West Africa Safety: All 5 tools are annotated per MCP 2025-03-26 spec — payment and SMS tools declare destructiveHint: true, so Claude Desktop and other clients show confirmation dialogs before executing. Query tools declare readOnlyHint: true for auto-approval. Install: pip install mpesa-mcp Who it's for: Developers building AI agents for East African markets. M-Pesa handles ~$50B/year in transactions and reaches 50M+ users. Africa's Talking reaches 300M+ phones across 20+ telecoms.

mpesa-mcp

MCP server for East African fintech APIs — M-Pesa (Safaricom Daraja) and Africa's Talking

Give your AI agent the ability to trigger M-Pesa payments, check transaction status, send SMS, and top up airtime across 20+ African telecom networks.

Tests PyPI License: MIT Glama

mpesa-mcp MCP server

Why this exists

M-Pesa processes more transactions per day than PayPal does in Africa. Africa's Talking reaches users in 20+ countries on basic phones via SMS and USSD. Neither has an MCP server.

This means every AI agent built today — Claude, GPT, Gemini, or any MCP-compatible runtime — cannot trigger an M-Pesa payment or send a Kiswahili SMS without custom integration work.

mpesa-mcp closes that gap in one pip install.

Tools

ToolDescription
mpesa_stk_pushTrigger STK Push payment prompt on customer's M-Pesa phone
mpesa_stk_queryCheck status of an STK Push request
mpesa_transaction_statusQuery any M-Pesa transaction by receipt number
sms_sendSend SMS to 1–1,000 recipients across African networks
airtime_sendSend airtime top-up to any subscriber (KES, NGN, GHS, UGX, etc.)

Coverage

  • M-Pesa: Kenya (Safaricom Daraja v3) — STK Push, C2B, transaction status
  • SMS/Airtime: Kenya, Nigeria, Ghana, Tanzania, Uganda, Rwanda, South Africa, and 15+ more via Africa's Talking

Install

pip install mpesa-mcp

Or run directly with uvx:

uvx mpesa-mcp

Configuration

Set these environment variables before starting the server:

# M-Pesa (Safaricom Daraja)
MPESA_CONSUMER_KEY=your_consumer_key
MPESA_CONSUMER_SECRET=your_consumer_secret
MPESA_SHORTCODE=174379               # sandbox test shortcode
MPESA_PASSKEY=your_passkey
MPESA_CALLBACK_URL=https://yourdomain.com/mpesa/callback
MPESA_SANDBOX=true                   # set false for production

# Africa's Talking
AT_USERNAME=sandbox                  # your AT username (sandbox for testing)
AT_API_KEY=your_at_api_key

Sandbox credentials

M-Pesa sandbox: https://developer.safaricom.co.ke — create a free app to get test credentials.

  • Test shortcode: 174379
  • Test passkey: bfb279f9aa9bdbcf158e97dd71a467cd2e0c893059b10f78e6b72ada1ed2c919

Africa's Talking sandbox: https://account.africastalking.com — use username=sandbox, any API key.

Usage with Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
  "mcpServers": {
    "mpesa": {
      "command": "uvx",
      "args": ["mpesa-mcp"],
      "env": {
        "MPESA_CONSUMER_KEY": "your_key",
        "MPESA_CONSUMER_SECRET": "your_secret",
        "MPESA_SHORTCODE": "174379",
        "MPESA_PASSKEY": "your_passkey",
        "MPESA_CALLBACK_URL": "https://yourdomain.com/mpesa/callback",
        "MPESA_SANDBOX": "true",
        "AT_USERNAME": "sandbox",
        "AT_API_KEY": "your_at_key"
      }
    }
  }
}

Usage with Claude Code

claude mcp add mpesa -- uvx mpesa-mcp

Set env vars in your shell before running claude.

Example prompts

Once connected, you can ask your AI agent:

"Send KES 500 STK Push to +254712345678 for order #1234"

"Check if the payment QKL8ABC123 has been received"

"Send an SMS to these 50 farmers with today's maize price: [list]"

"Top up KES 50 airtime for our field agents: [list of numbers]"

Real-world scenarios

Field agent payment dispatch

"Send KES 300 STK Push to each of these 12 field agents for today's data collection: [list]"

The agent triggers 12 sequential STK pushes, tracks each checkout_request_id, and polls for confirmation — without any code from you.

Farmer alert + airtime

"SMS these 200 Garissa farmers that the river is rising. Then top up KES 20 airtime each so they can call in reports."

One prompt → 200 SMS messages and 200 airtime top-ups across Safaricom, Airtel, and Telkom.

Payment reconciliation

"Check whether receipt OKL8M3B2HF was a successful payment and how much it was for"

Useful for support agents using Claude to verify M-Pesa transactions in real time.

Tool annotations

All tools declare MCP tool annotations so clients can gate calls appropriately:

ToolreadOnlydestructiveidempotent
mpesa_stk_push
mpesa_stk_query
mpesa_transaction_status
sms_send
airtime_send

Claude Desktop and other MCP clients will request confirmation before triggering payment, SMS, or airtime operations.

Server discovery

Capabilities are advertised via .well-known/mcp.json — the emerging MCP Server Cards standard. Registries and browsers can index this server's tools without connecting to it.

# Check capabilities
curl https://raw.githubusercontent.com/gabrielmahia/mpesa-mcp/main/.well-known/mcp.json

Testing and accuracy

The MCP ecosystem benchmark (CData, 2026) found most MCP servers accurate 60–75% of the time on complex queries — particularly silent failures on write operations and partial parameter application.

mpesa-mcp is tested against all three Kenyan phone number formats, boundary amount values, and missing optional fields:

pytest tests/ -v  # run full suite
pytest tests/test_phone_formats.py  # format normalization
pytest tests/test_boundary_amounts.py  # min/max amount edge cases

Write operations (STK push, SMS, airtime) have explicit validation before any API call is made.

Ecosystem context — Mojaloop + MCP

Mojaloop (funded by the Gates Foundation) handles payment interoperability — connecting banks, mobile money wallets, and merchants across DFSPs in East Africa and beyond.

mpesa-mcp handles the AI agent tooling layer — enabling AI coding assistants to trigger and query M-Pesa payments programmatically.

These are complementary:

  • Mojaloop: the interoperability rails between financial providers
  • mpesa-mcp: the MCP interface layer that connects AI agents to those rails

See the Mojaloop documentation contribution for more on this pattern.

MCP vs A2A — two different protocols

mpesa-mcp implements MCP (Model Context Protocol) — how an AI agent talks to tools.

There is a complementary protocol, A2A (Agent-to-Agent), which handles how agents talk to each other. They solve different problems and work together:

  • MCP: Your AI agent → mpesa-mcp → Daraja API / Africa's Talking
  • A2A: Orchestrator agent ↔ payment sub-agent ↔ notification sub-agent

For most integrations you only need MCP. A2A becomes relevant when you're building multi-agent systems where a payment workflow coordinates with other specialized agents.


Development

git clone https://github.com/gabrielmahia/mpesa-mcp
cd mpesa-mcp
pip install -e ".[dev]"
pytest tests/ -v

Security

Do not commit API keys. Use environment variables or a secrets manager.
Report vulnerabilities to: [email protected]

License

CC BY-NC-ND 4.0 — © 2026 Gabriel Mahia

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